Title :
On the Energy Efficiency of LT Codes in Proactive Wireless Sensor Networks
Author :
Abouei, Jamshid ; Brown, J. David ; Plataniotis, Konstantinos N. ; Pasupathy, Subbarayan
Author_Institution :
Dept. of Electr. Eng., Yazd Univ., Yazd, Iran
fDate :
3/1/2011 12:00:00 AM
Abstract :
This paper presents an in-depth analysis on the energy efficiency of Luby transform (LT) codes with frequency shift keying (FSK) modulation in a wireless sensor network (WSN) over Rayleigh fading channels with path-loss. We describe a proactive system model according to a flexible duty-cycling mechanism utilized in practical sensor apparatus. The present analysis is based on realistic parameters including the effect of channel bandwidth used in the IEEE 802.15.4 standard, active mode duration, and computation energy. A comprehensive analysis, supported by some simulation studies on the probability mass function of the LT code rate and coding gain, shows that among uncoded FSK and various classical channel coding schemes, the optimized LT coded FSK is the most energy-efficient scheme for distance d greater than the predetermined threshold level dT, where the optimization is performed over coding and modulation parameters. In addition, although the optimized uncoded FSK outperforms coded schemes for d <; dT , the energy gap between LT coded and uncoded FSK is negligible for d <; dT compared to the other coded schemes. These results come from the flexibility of the LT code to adjust its rate to suit instantaneous channel conditions and suggest that LT codes are beneficial in practical low-power WSNs with dynamic position sensor nodes.
Keywords :
Rayleigh channels; Zigbee; channel coding; frequency shift keying; optimisation; transform coding; wireless sensor networks; IEEE 802.15.4 standard; LT codes; Luby transform codes; Rayleigh fading channels; channel coding; frequency shift keying modulation; optimization; proactive wireless sensor networks; Energy efficiency; FSK; LT codes; green modulation; wireless sensor networks;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2010.2094193